This page requires that JavaScript be enabled in your browser.
Learn how »
Mathematica for Engineering Education
Kelvin Mischo
This Wolfram Mathematica Virtual Conference 2011 course gives educators an overall picture of how Mathematica can benefit an engineering curriculum with examples of modeling, simulation, visualization, and document creation.
Thanks for your feedback.
Channels: Virtual Events
701 videos match your search.
 |
This event features demos and tutorials using Wolfram technologies for 2D and 3D image analysis and computer vision. Wolfram's integrated workflow combines high level image processing and machine learning in ... |
 |
Галина Михалкина |
 |
Олег Игоревич Маричев |
 |
Кевин Дейли |
 |
Алексей Викторович Порубов |
 |
Андрей Александрович Кротких |
 |
Галина Михалкина |
 |
Кевин Дейли |
 |
Микаел Эгибян |
 |
Валериян Гайнизаманович Муфтеев |
 |
Learn about the highly automated machine learning framework in the Wolfram Language, including task-oriented functions that can process numeric data, text, images and more. Examples include image search and classification, ... |
 |
The Wolfram Language neural network framework provides symbolic building blocks to build, train and tune a network, as well as automatically process input and output using encoders and decoders. Learn ... |
 |
Learn about recurrent neural nets and why they are interesting. Find out how you can work with recurrent nets using the neural network framework in the Wolfram Language. See a ... |
 |
|
 |
|
 |
|
 |
|
 |
|
 |
|
 |
|
